Hawkar Hashim Ibrahim

Stacked-based machine learning to predict the uniaxial compressive strength of concrete materials

Post-fire compressive mechanical behaviors of concrete incorporating coarse and fine recycled aggregates

Comparison of artificial neural network (ANN) and linear regression modeling with residual errors to predict the unconfined compressive strength and compression index for Erbil City soils, Kurdistan-Iraq

Artificial intelligence forecasting models of uniaxial compressive strength